Gordon Dobie

Professor Gordon Dobie is a full-time faculty member in the Department of Electronic & Electrical Engineering within the Faculty of Engineering at the University of Strathclyde. He holds the academic rank of Professor and is actively engaged in research, teaching, and supervision of PhD students.

• MEng in Electrical and Mechanical Engineering with Distinction, University of Strathclyde (2000–2005)
• PhD in Ultrasonic Sensor Platforms for Non-Destructive Evaluation, University of Strathclyde (2006–2009)

His research focuses on applied engineering solutions in ultrasonics, non-destructive evaluation (NDE), robotics, automation, and embedded systems. Key areas include automated inspection, signal processing, computer vision, and photogrammetry, with applications in structural integrity and medical imaging. His work supports industrial and medical advancements through real-time, intelligent inspection systems.

The recent publications reflect a strong trend in integrating robotics and sensor technologies for robust inspection systems, particularly in challenging environments such as pipelines and medical diagnostics. The research combines ultrasonic sensing with computer vision, machine learning, and tactile feedback, demonstrating interdisciplinary innovation in engineering for safety-critical applications.

Professor Dobie has received recognition through active engagement in major research projects and collaborations, including KTP partnerships and Innovate UK-funded initiatives. While specific awards are not listed, his role as Principal Investigator on multiple high-impact projects highlights his leadership and contribution to technological innovation.

He advises several research students and leads or contributes to numerous grants, including projects such as RAICo - Next Generation Remote Inspection of Confined Spaces and KTP - Cokebusters, focusing on improving ultrasonic inspection pigs. His work is supported by strong industrial partnerships and contributes to UN Sustainable Development Goals through technological advancement.

He is affiliated with the Centre for Ultrasonic Engineering (CUE) and participates in external collaborations with institutions such as the National Robotarium. His research group works on developing next-generation inspection systems using mobile robotics, sensor fusion, and AI-driven data analysis.